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His research is concentrated in the area of statistical genetics and integrative analysis of omics data, attempting to develop new statistical methodologies that aid with the identification and interpretation of complex biological pathways involved in human diseases, particularly neurological disorders.
Dr. He's research is concentrated in the area of statistical genetics and integrative analysis of omics data, attempting to develop new statistical methodologies that aid with the identification and interpretation of complex biological pathways involved in human diseases, particularly neurological disorders.
In [ 31], the suitability of PLSR for interpretation of complex biological systems and use of PLSR in sensitivity analysis was demonstrated.
Integration of tools and development of such platforms are important to assemble a systems biology computational workflow supporting interpretation of complex biological data [ 16].
Conversely, the results of the functional annotation task proved that the interpretation of complex biological data, and thus linking text to the GO ontology, is extremely challenging for text mining tools.
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The synthesis of complex biological molecules is equally difficult.
Nitrogen is a critical ingredient of complex biological molecules1.
Evaluating functional network inference using simulations of complex biological systems.
Computational models can provide useful guidance in the design of behavioral and neurophysiological experiments and in the interpretation of complex, high dimensional biological data.
This data-driven methodology advances unbiased assessment of global datasets an allowed comprehensive interpretation of complex alterations in biological states.
Moreover, this allows multiple (omics) data types to be mapped concurrently to the network, which aids the biological interpretation of complex data sets.
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